Search ga_ls7e_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

GQA Circular error probable (90%) from:

GQA Circular error probable (90%) to (exclusive):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

A Landsat Collection 1 Level-1 product identifier including the Collection processing levels, processing date, collection number, and collection tier category (e.g. ‘LE07_L1TP_098084_20210307_20210308_02_RT’) :

A Landsat scene ID including WRS path and row, year and day, ground station identifier and archive version number (e.g. ‘LC80900852021066LGN00’) :

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Landsat region_code is a scene path row: '{:03d}{:03d}.format(path,row)' For Sentinel it is MGRS code. In general it is a unique string identifier that datasets covering roughly the same spatial region share. :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2000-08-23 11:27:15	ga_ls7e_ard_3-1-0_112084_2000-08-23_final
2000-10-09 09:03:17	ga_ls7e_ard_3-1-0_089081_2000-10-08_final
2000-10-15 11:42:06	ga_ls7e_ard_3-1-0_115077_2000-10-15_final
2001-05-11 11:41:58	ga_ls7e_ard_3-1-0_115077_2001-05-11_final
2001-06-06 09:02:33	ga_ls7e_ard_3-1-0_089081_2001-06-05_final
2001-06-12 11:41:37	ga_ls7e_ard_3-1-0_115077_2001-06-12_final
2002-03-11 11:40:55	ga_ls7e_ard_3-1-0_115077_2002-03-11_final
2002-10-21 11:39:47	ga_ls7e_ard_3-1-0_115077_2002-10-21_final
2003-01-01 09:15:37	ga_ls7e_ard_3-1-0_091086_2002-12-31_final
2004-07-14 09:16:15	ga_ls7e_ard_3-1-0_091086_2004-07-13_final
2004-08-04 11:07:54	ga_ls7e_ard_3-1-0_110072_2004-08-04_final
2004-09-11 10:29:53	ga_ls7e_ard_3-1-0_104070_2004-09-11_final
2004-11-27 11:41:05	ga_ls7e_ard_3-1-0_115077_2004-11-27_final
2005-10-20 10:10:05	ga_ls7e_ard_3-1-0_100081_2005-10-20_final
2005-12-23 10:10:33	ga_ls7e_ard_3-1-0_100081_2005-12-23_final
2006-02-22 11:19:21	ga_ls7e_ard_3-1-0_111082_2006-02-22_final
2006-03-28 11:06:36	ga_ls7e_ard_3-1-0_109081_2006-03-28_final
2006-07-02 11:06:25	ga_ls7e_ard_3-1-0_109081_2006-07-02_final
2006-09-30 10:04:08	ga_ls7e_ard_3-1-0_099081_2006-09-30_final
2006-10-22 09:29:37	ga_ls7e_ard_3-1-0_093087_2006-10-21_final
2006-11-23 11:06:32	ga_ls7e_ard_3-1-0_109081_2006-11-23_final
2007-02-06 10:45:57	ga_ls7e_ard_3-1-0_106075_2007-02-06_final
2007-06-01 11:19:32	ga_ls7e_ard_3-1-0_111082_2007-06-01_final
2008-01-23 10:06:16	ga_ls7e_ard_3-1-0_099084_2008-01-23_final
2008-05-02 11:19:21	ga_ls7e_ard_3-1-0_111082_2008-05-02_final
2008-07-10 09:56:00	ga_ls7e_ard_3-1-0_098076_2008-07-10_final
2009-01-24 11:00:29	ga_ls7e_ard_3-1-0_108082_2009-01-24_final
2009-04-16 09:11:02	ga_ls7e_ard_3-1-0_090085_2009-04-15_final
2009-12-28 10:46:48	ga_ls7e_ard_3-1-0_106075_2009-12-28_final
2010-01-19 10:11:40	ga_ls7e_ard_3-1-0_100079_2010-01-19_final
2010-05-30 09:08:14	ga_ls7e_ard_3-1-0_089089_2010-05-29_final
2010-08-21 09:36:51	ga_ls7e_ard_3-1-0_094083_2010-08-21_final
2010-12-20 11:09:34	ga_ls7e_ard_3-1-0_109081_2010-12-20_final
2011-05-24 09:14:16	ga_ls7e_ard_3-1-0_090085_2011-05-23_final
2011-09-06 09:06:15	ga_ls7e_ard_3-1-0_089081_2011-09-05_final
2012-12-16 09:40:42	ga_ls7e_ard_3-1-0_094083_2012-12-16_final
2013-05-16 11:25:09	ga_ls7e_ard_3-1-0_111082_2013-05-16_final
2013-07-24 10:03:27	ga_ls7e_ard_3-1-0_098080_2013-07-24_final
2013-11-03 11:06:50	ga_ls7e_ard_3-1-0_108082_2013-11-03_final
2013-11-18 10:20:51	ga_ls7e_ard_3-1-0_101075_2013-11-18_final
2015-02-01 11:15:12	ga_ls7e_ard_3-1-0_109081_2015-02-01_final
2016-09-10 09:22:12	ga_ls7e_ard_3-1-0_090082_2016-09-09_final
2016-10-31 11:31:57	ga_ls7e_ard_3-1-0_111082_2016-10-31_final
2017-02-22 09:42:03	ga_ls7e_ard_3-1-0_093087_2017-02-22_final
2017-04-03 10:26:56	ga_ls7e_ard_3-1-0_101075_2017-04-03_final
2017-07-20 09:15:34	ga_ls7e_ard_3-1-0_089081_2017-07-19_final
2018-03-29 09:41:03	ga_ls7e_ard_3-1-0_093087_2018-03-29_final
2018-08-15 09:19:16	ga_ls7e_ard_3-1-0_090085_2018-08-14_final
2019-02-27 10:26:19	ga_ls7e_ard_3-1-0_102080_2019-02-27_final
2019-03-05 11:26:20	ga_ls7e_ard_3-1-0_112076_2019-03-05_final
2019-03-09 09:25:00	ga_ls7e_ard_3-1-0_092082_2019-03-08_final
2019-03-14 09:45:23	ga_ls7e_ard_3-1-0_095087_2019-03-14_final
2019-03-16 11:09:50	ga_ls7e_ard_3-1-0_109082_2019-03-16_final
2019-03-17 10:14:35	ga_ls7e_ard_3-1-0_100083_2019-03-17_final
2019-03-23 09:36:06	ga_ls7e_ard_3-1-0_094080_2019-03-23_final
2019-08-04 10:28:54	ga_ls7e_ard_3-1-0_104070_2019-08-04_final
2019-08-28 11:19:20	ga_ls7e_ard_3-1-0_112075_2019-08-28_final
2019-08-30 09:30:24	ga_ls7e_ard_3-1-0_094081_2019-08-30_final
2019-09-01 09:17:57	ga_ls7e_ard_3-1-0_092081_2019-08-31_final
2019-09-03 09:06:42	ga_ls7e_ard_3-1-0_090084_2019-09-02_final
2019-09-06 11:13:10	ga_ls7e_ard_3-1-0_111076_2019-09-06_final
2019-09-08 11:01:07	ga_ls7e_ard_3-1-0_109077_2019-09-08_final
2019-09-10 09:10:59	ga_ls7e_ard_3-1-0_091080_2019-09-09_final
2019-09-12 10:34:37	ga_ls7e_ard_3-1-0_105073_2019-09-12_final
2019-09-13 11:21:50	ga_ls7e_ard_3-1-0_112083_2019-09-13_final
2019-10-01 11:07:29	ga_ls7e_ard_3-1-0_110080_2019-10-01_final
2019-10-04 09:57:47	ga_ls7e_ard_3-1-0_099076_2019-10-04_final
2019-10-15 09:36:48	ga_ls7e_ard_3-1-0_096071_2019-10-15_final
2019-10-19 09:15:54	ga_ls7e_ard_3-1-0_092081_2019-10-18_final
2019-11-10 10:13:56	ga_ls7e_ard_3-1-0_102074_2019-11-10_final
2019-11-16 09:35:23	ga_ls7e_ard_3-1-0_096071_2019-11-16_final
2019-11-16 11:16:39	ga_ls7e_ard_3-1-0_112077_2019-11-16_final
2019-11-17 10:17:47	ga_ls7e_ard_3-1-0_103069_2019-11-17_final
2019-11-18 11:05:24	ga_ls7e_ard_3-1-0_110080_2019-11-18_final
2019-11-19 10:08:08	ga_ls7e_ard_3-1-0_101076_2019-11-19_final
2019-11-25 09:32:22	ga_ls7e_ard_3-1-0_095080_2019-11-25_final
2019-11-25 11:06:27	ga_ls7e_ard_3-1-0_111068_2019-11-25_final
2019-12-04 09:20:33	ga_ls7e_ard_3-1-0_094067_2019-12-03_final
2019-12-06 09:14:53	ga_ls7e_ard_3-1-0_092084_2019-12-05_final
2019-12-13 09:20:43	ga_ls7e_ard_3-1-0_093084_2019-12-12_final
2019-12-17 10:29:05	ga_ls7e_ard_3-1-0_105070_2019-12-17_final
2019-12-28 10:12:46	ga_ls7e_ard_3-1-0_102077_2019-12-28_final
2019-12-29 09:19:53	ga_ls7e_ard_3-1-0_093084_2019-12-28_final
2020-01-10 09:39:36	ga_ls7e_ard_3-1-0_097073_2020-01-10_final
2020-01-17 11:25:31	ga_ls7e_ard_3-1-0_114076_2020-01-17_final
2020-01-30 09:15:53	ga_ls7e_ard_3-1-0_093078_2020-01-29_final
2020-02-01 09:05:49	ga_ls7e_ard_3-1-0_091084_2020-01-31_final
2020-02-17 09:03:48	ga_ls7e_ard_3-1-0_091081_2020-02-16_final
2020-02-25 09:50:01	ga_ls7e_ard_3-1-0_099074_2020-02-25_final
2020-02-29 09:28:17	ga_ls7e_ard_3-1-0_095082_2020-02-28_final
2020-03-02 10:52:18	ga_ls7e_ard_3-1-0_109076_2020-03-02_final
2020-03-18 10:54:37	ga_ls7e_ard_3-1-0_109084_2020-03-18_final
2020-03-23 09:33:36	ga_ls7e_ard_3-1-0_096083_2020-03-23_final
2020-03-25 10:55:37	ga_ls7e_ard_3-1-0_110072_2020-03-25_final
2020-03-27 10:47:09	ga_ls7e_ard_3-1-0_108082_2020-03-27_final
2020-04-06 11:22:27	ga_ls7e_ard_3-1-0_114079_2020-04-06_final
2020-04-14 08:55:40	ga_ls7e_ard_3-1-0_090084_2020-04-13_final
2020-04-15 11:17:45	ga_ls7e_ard_3-1-0_113084_2020-04-15_final
2021-02-26 08:47:27	ga_ls7e_ard_3-2-0_092085_2021-02-25_final
2021-03-11 09:49:38	ga_ls7e_ard_3-2-0_103073_2021-03-11_final

Return to ga_ls7e_ard_3 whole collection overview

ga_ls7e_ard_3: Geoscience Australia Landsat 7 Enhanced Thematic Mapper Plus Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years